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Title: The Knowledge-Based Technology Applications Center (KBTAC) seminar series. Volume 1, Introduction to knowledge-based systems

Technical Report ·
OSTI ID:10137793
; ; ;  [1]
  1. Syracuse Univ., NY (United States). Knowledge-Based Technology Applications Center

Knowledge-based systems are a means of capturing and productively and efficiently using utility accumulated knowledge and expertise. The first step in this process is to identify what types of problems and applications can benefit from the use of expert systems. Once potential applications have been identified, it is necessary to involve management in supporting the use and developing of the expert system. To do that, management must be made aware of the costs of benefits associated with the development, routine use and maintenance of these systems. To truly understand how knowledge-based systems differ from conventional programming the manager and potential user needs to become familiar with the concept of symbolic reasoning or programming where knowledge is manipulated, not just data as in conventional programming. Knowledge-based systems use all the information manipulation that is found in conventional programming but adds to that knowledge-based programming. How does a program use knowledge? That is accomplished in a knowledge-based system by the inferencing process. Rules allow reasoning to flow backward from a conclusion or a result to circumstances or a causes. Alternatively, certain data or information can lead to a conclusion or a result. The reader will be lead through this process of symbolic reasoning or programming including the presentation of several examples. The software available to develop expert systems is discussed as is the hardware on which that software is operable. Costs and other features of the hardware are presented in detail. Finally, the many different ways in which KBTAC can assist in developing expert systems is discussed. This assistance ranges from phone calls to assistance at KBTAC`s site or at your utility.

Research Organization:
Electric Power Research Inst., Palo Alto, CA (United States); Syracuse Univ., NY (United States). Knowledge-Based Technology Applications Center
Sponsoring Organization:
Electric Power Research Inst., Palo Alto, CA (United States)
OSTI ID:
10137793
Report Number(s):
EPRI-TR-101740-Vol.1; ON: UN93010117
Resource Relation:
Other Information: PBD: Dec 1992
Country of Publication:
United States
Language:
English